Determination of Physical Parameters of Stiffened Plates using Genetic Algorithm

Viscoelastic adhesive interfacial model and experimental characterization for interfacial parameters

“…The previous studies showed that genetic algorithm is promising in dealing with large, discrete, non-linear and poorly understood optimization problem, where expert knowledge is scarce or difficult to obtain. The method has been widely accepted as optimization methods in various fields, such as flaw detection (Liu and Chen, 2001;Perera and Torres, 2006), interfacial parameter identification (Lin et al, 2005), material properties determination (Cunha et al, 1999;Chakraborty et al, 2002;Vishnuvardhan et al, 2008) and parameter calibration (Koh et al, 2003;Salomonsson and Andersson, 2008).…”

Genetic evolutionary structural optimization

“…The GA search is based on the principles of "survival-of-thefittest" and adaptation. Structural optimizations and parameter determinations are two essential applications of GA [14][15][16][17][18]. In this paper, the performance of ESO is improved significantly by introducing the concept of probability and survival-of-thefittest of GA to ESO to develop a new method called Genetic Evolutionary Structural Optimization (GESO).…”

Constructal design associated with genetic algorithm to minimize the maximum deflection of thin stiffened steel plates

“…Regarding geometric optimization of stiffened plates, Kallassy and Marcelin 10 performed a study about the feasibility of applying genetic algorithms (GA) on topological optimizations of stiffened plates, investigating the optimal positioning of the reinforcements with well‐defined dimensions. Chakraborty et al 11 conducted an analysis with GA of isotropic and composite stiffened plates, aiming to define their material and geometrical optimized parameters. The GA was also used by Lee et al, 12 associated with the ANSYS software, for the geometric optimization of a ship (bulk carrier) stiffened panel, having the ultimate strength maximization and the steel weight minimization as objective functions.…”